eage/aapg digital subsurface for asia pacific conference

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Technical Programme 7-10 SEPTEMBER 2020 • ONLINE WWW.EAGE.ORG EAGE/AAPG Digital EAGE/AAPG Digital Subsurface For Asia Pacific Subsurface For Asia Pacific Conference Conference

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Page 1: EAGE/AAPG Digital Subsurface For Asia Pacific Conference

Technical Programme

7 - 1 0 S E P T E M B E R 2 0 2 0 • O N L I N E

WWW. E AG E .O RG

EAGE/AAPG Digital EAGE/AAPG Digital Subsurface For Asia Pacific Subsurface For Asia Pacific Conference Conference

Page 2: EAGE/AAPG Digital Subsurface For Asia Pacific Conference

2 E A G E / A A P G D I G I T A L S U B S U R F A C E F O R A S I A P A C I F I C C O N F E R E N C E

TABLE OF CONTENTS

Technical Committee 2Conference Overview 2Conference Highlights 2Technical Programme 3-4 How to join the conference 4Registration 4Sponsorship 4

CONFERENCE HIGHLIGHTS

Keynote Talks:• The Opportunities and the Challenges Woodside

Experienced - Neil Hookway (Woodside Energy)• The Future-Proof E&P Company - David Hicks (IHS Markit)• Respond, Recover and Reimagine with the New Digital

Workforce - Darryl Willis (Microsoft Corporation)

Executive Plenary Session: Painting the E&P Company of the Future• Moderators: Chen Kah Seong (PETRONAS),

David Hicks (IHS Markit)• Panel: Marie-Hélène Ben Samoun (Boston Consulting

Group), Maurice Nessim (WesternGeco), Dave Wisenteiner (Microsoft), Darryl Harris (Woodside Energy Ltd)

Special Session: Successes and Pitfalls of Subsurface Digital Workflow Initiatives• Moderator: Tim Johnson (PETRONAS Carigali)• Panel: Norbert Dolle (White Space Energy),

Therese Rannem (Neptune Energy), Nina Marie Hernandez (Iraya Energies)

TECHNICAL COMMITTEE

Eric Andersen (Chairperson) PETRONAS

Dylan Mair (Co-Chairperson) IHS Markit

Darryl Harris (Co-Chairperson) Woodside Energy Ltd

Paul Zwartjes Aramco Overseas Company BV

Jimmy Ting CGG

Francisco Ortigosa Consultant

Vladimir Puzyrev Curtin University

Eirik Larsen Earth Science Analytics

Claire Emma Birnie Equinor

Nikita Bukhanov Gazpromneft NTC

Boris Belozerov Gazpromneft NTC

Izzat Fauzi Halliburton

Jan van de Mortel Independent Consultant

Francois Baillard Iraya Energies

Ali Hajian PETRONAS Group Digital

Zuraidah Moh Nor PTTEP

Siti Zubaidah Abu Bakar Repsol

Bill Abbott Schlumberger

Balaji Chennakrishnan Telesto Energy

CONFERENCE OVERVIEW

This event will showcase digital subsurface studies and workflows enabled by data science and delivered by a workforce equipped to handle next generation E&P. How digital transformation using subsurface data creates value in the oil and gas industry. As we constantly break new ground, the scope is broad but subsurface data should underpin your results. Data science makes some of its biggest discoveries by integrating many parts so the elements below represent the scope of the whole event and not individual sessions. EAGE APAC’s 1st virtual conference of the year, this event is the 2nd edition of the EAGE Workshop on Machine Learning 2019 that hosted over 200 participants last year.

Page 3: EAGE/AAPG Digital Subsurface For Asia Pacific Conference

E A G E / A A P G D I G I T A L S U B S U R F A C E F O R A S I A P A C I F I C C O N F E R E N C E 3

TECHNICAL PROGRAMME

Oral Presentations I Monday 7 September

DAY 108:30 Introductory Remarks

09:00 Opening Remark - E. Andersen1PETRONAS Carigali Sdn Bhd

09:10 Keynote 1: The Opportunities and the Challenges Woodside Experienced - N. Hookway1*1Woodside Energy

Session 1: Digital Reimagining SubsurfaceSession Chairs: B. Chennakrishnan (Telesto Energy PTE. LTD.), I. Fauzi (Halliburton)

09:40 21. A Geological Regional Case Study for Pressure, Temperature, and Salinity for the GoM using Machine Learning Technology on Unstructured Data - C. Mamador1*, J.O. Aranda1, N.E. Arif1, N.M. Hernandez1, F. Baillard1

1Iraya Energies

10:05 23. A Case Study of Fully Automated Machine Learning Petrophysical Interpretation Using Unstructured Data - S. Karim1*, P. Lucañas1, A. Nadrah Sazali1, N.M. Hernandez1, F. Baillard1

1Iraya Energies

10:30 35. Automated Production Optimisation and Forecasting using Machine Learning - S. Reddy1*1Telesto Energy PTE. LTD.

10:55 32. Case Study: Predicting Missing Recorded Well Logs using Classification and Regression Methodology - R. Thiyagu1*, M.Y.M. Yusman2, M. A. M. Nazmi3, A. A. Amirsaman4, T. Shaur4

1Independent; 2Emerson; 3iProperty; 4University Malaya

11:20 Virtual Networking Session

Session 2: Digital ReservoirSession Chairs: J.H. van de Mortel (Independent), P.M. Zwartjes (Aramco Overseas Company)

14:00 Introductory Remarks

14:30 10. Well Placement Strategies Evaluation Based on Exploration Game Challenge - E. Grishnyaev3*, Y. Paveleva1, N. Klimenko1, A. Volkova2, N. Bukhanov1,2, A. Orlov3, M. Ozhgibesov3

1LLC GazpromNeft STC; 2Tomsk Polytechnic University; 3LLC Perfect Art

14:55 26. An Optimization Method for the Assisted History Matching (AHM) Process using the Gradient Boosting Approach - M. Melnikov1*, G. Shishaev1, I. Matveev1, G. Eremyan1, V. Demyanov2, N. Bukhanov1, B. Belozerov3

1Tomsk Polytechnic University. Petroleum Learning Center; 2Heriot-WattUniversity; 3LLC Gazpromneft STC

15:20 27. Running Reservoir Simulations in the Public Cloud; A Case Study of a Cost-Controlled Method, Running tNavigator and Eclipse in an Azure HPC environment. - M. Stordalen Flister1*, K. Hopstaken1Cegal

15.45 33. Reservoir Rock Typing Using Unsupervised Clustering Techniques - S.Bakdi1*1Telesto Energy PTE. LTD.

16:10 Virtual Networking Session

Oral Presentations I Tuesday 8 September

DAY 208:30 Introductory Remarks

09:00 Keynote 2: The Future-Proof E&P Company - D.Hicks1*1IHS Markit

Executive PlenarySession Chairs: K. S. Chen (PETRONAS), D. Hicks (IHS Markit)

09:30 Painting the E&P Company of the Future - M. Nessim1*, D. Wisenteiner,2*, D. Harris3*, M. H. B. Samoun4

1WesternGeco; 2 Microsoft; 3 Woodside Energy Ltd; 4Boston Consulting Group

11:00 Virtual Networking Session

Special SessionSession Chair: T. Johnson (PETRONAS Carigali Sdn. Bhd.)

14:00 Introductory Remarks

14:30 Successes and Pitfalls of Subsurface Digital Workflow Initiatives - N. Dolle1*, T. Rannem2*, N.M.Hernandez3*1White Space Energy; 2Neptune Energy; 3Iraya Energies

16:00 Virtual Networking Session

Oral Presentations I Wednesday 9 September

DAY 308:55 Introductory Remarks

09:00 Respond, Recover and Reimagine with the New Digital Workforce - D.Willis1*1Microsoft Corporation

Session 3: Deep Learning in GeoscienceSession Chair: F. Baillard (Iraya Energies), A. Hajian (PETRONAS Group Digital)09:30 17. Missed Pay Identification using Machine Learning -

A Case Study - D. Stoddart1*, G. Valeras1, A. Papapostolou1, G. Xenogiannopoulos1, D. Oikonomou1, B. Alaei1, D. Austin1, E. Larsen1, I. Martin2, E. Zabihi Naeini1

1Earth Science Analytics; 2Oil and GasTechnology Centre

09:55 29. Well Log Data Augmentation Influence at Accuracy of Machine Learning Interpretation - A. Semenikhin1*, A. Shchepetnov1, A. Karavaev2, D. Egorov2, O. Osmonalieva2

1IBM; 2Gazpromneft

10:20 30. Deep Machine Learning Application for Supervised Facies Classification - R.P. Amarullah Bekti1*1CGG

10:45 41. Machine-Learning-Driven Dispersion Curve Picking For Surface-Wave Analysis, Modelling, and Inversion - A.Kaul1*1Schlumberger

11:10 Virtual Networking Session

Session 4: Seismic Processing WorkflowsSession Chairs: N.V. Bukhanov (LLC Gazpromneft STC), V. Puzyrev (Curtin University)14:25 Introductory Remarks

14:30 22. Seismic Processing Workflow Improvements with AI - P. Zwartjes1*, R. Baardman1, R. Hegge1

1Aramco Overseas Company

14:55 15. Uncertainty Quantification for Deep Learning in Geoscience Applications - L. Mosser1*, S. Purves, E. Zabihi Naeini1

1Earth Science Analytics

15:20 11. Reducing Turnaround by Automating Velocity Model Building using a Big Data Approach - T. Martin1, M. Bell1, T. Massip1*1PGS

15:45 Virtual Networking Session

Page 4: EAGE/AAPG Digital Subsurface For Asia Pacific Conference

join us on social media!

www.eage.org

HEAD OFFICE • PO BOX 59 • 3990 DB HOUTEN • THE NETHERLANDS • +31 88 995 5055 • [email protected]

See you at the virtual conference!

EUROPE OFFICE +31 88 995 5055 [email protected]

LATIN AMERICA OFFICE+57 1 7449566 EXT [email protected]

ASIA PACIFIC OFFICE +60 3 272 201 [email protected]

MIDDLE EAST/AFRICA OFFICE +971 4 369 3897 [email protected]

RUSSIA & CIS OFFICE +7 495 640 [email protected]

HOW TO JOIN THE CONFERENCE

The virtual conference will be hosted on the Event OnAir platform. A few days prior to the event day, all registered and paid attendees will receive the Attendee Pack which will consist of the virtual lobby link to join the conference and the event guidelines. All attendees are advised to follow the event guidelines for the optimal event experience. This virtual conference will be held in the local timezone (Kuala Lumpur, UTC +8).

REGISTRATION

REGISTERED AND PAIDEAGE Members / AAPG Members € 250

Non-Member € 350

EAGE Student Member & AAPG Student Member € 125

Student Non-Member € 150

Members please note:To qualify for the member registration fee, your EAGE membership dues for 2020 must have been paid and confirmed. The processing time for membership applications or renewals is 10 working days.To qualify for the reduced student registration fee:• Students must be enrolled in a full time study programme at a recognized university or institute• The registration must be accompanied by a copy of a student ID card and/or official proof

of enrolmentThe non-member fee includes EAGE membership for the remainder of 2020. This membership will be activated shortly after the event.Student non-members cannot be older than 34 years of age (when registering).EAGE registration fees differentiate between EAGE members and non-members. In the table above you can see what the different fees are.All fees are in Euros (€). One Euro of your total registration fee is donated to the EAGE Green Fund.

MAIN SPONSORS

VIDEO SPONSOR

Oral Presentations I Thursday 10 September

DAY 4

Session 5: Machine Learning Applications for Reservoir CharacterizationSession Chairs: J.C.S. Ting (CGG), F. Baillard (Iraya Energies)

10:55 Introductory Remarks

11:00 14. A Novel Subsurface Characterization Algorithm Parameterized in Terms Familiar to Geoscientists - R. Ross1*, A. Jakobsen1, H. Hansen1

1Qeye

11:25 24. Deep Convolutional Autoencoder for Unsupervised Seismic Facies Classification - V. Puzyrev1*, C. Elders1

1Curtin University

11:50 20. A Semi-Supervised Learning Framework for Seismic Acoustic Impedance Estimation - H. Di1*, X. Chen1, H. Maniar1, A. Abubakar1

1Schlumberger

12:15 34. Seismic Facies Classification using Generative Topographic Mapping and Self Organizing Maps - A.K. Ray1*, R. Dandapani1, S. Verma2

1Telesto Energy Pte. Ltd.; 2UTPB

12:40 Virtual Networking Session

Session 6: Big Data and LearningSession Chairs: J.V.D. Mortel (Independent), B. Chennakrishnan (Telesto Energy Pte. Ltd.)

14:25 Introductory Remarks

14:30 37. Tech Age Approach to Integrate Academia, Industry and Associations & Community. - R. Thiyagu1*, N. Jackie2

1Independent; 2PETRONAS

14.55 39. The Future of Data Recording, Transport and Storage In The Oil Sector - G.Holmes1*1Tape Ark

15:20 7. An Integrated Solution on Cloud - F.A.Khan1*, N.N.H.C.Soh1

1PETRONAS Carigali Sdn Bhd

15:45 9. Computational Approach for Data-Driven Mining of Upstream Value-added Structures - N. Bukhanov1,2*, P. Trudkov1, E. Vinogradova1, I. Derevitskii2, K. Balabaeva2, A. Funkner2, S. Kovalchuk2

1LLC Gazpromneft STC; 2LTMO University

16:10 Closing Ceremony

16:20 Virtual Networking Session